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Model: cris177/DesivoMerge0.1
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+---
+
+# DesivoMerge0.1
+
+DesivoMerge0.1 is a merge of a bunch of models using [mergekit](https://github.com/cg123/mergekit)
+
+The idea is to continuously merge models into a main model. The first merge is between open-orca-mistral-7B and open-hermes-7B, then I merged the resulting merge with the best performing 7B model on the open-llm leaderboard (TurdusBeagle-7B).
+
+I will keep adding models to the merge until the average score of the models in the merge is lower than the score of the previous merge, in which case I will backtrack and find another model to merge.
+
+I will try to avoid contaminated models by looking into each of the candidates before merging them.
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: ./merge
+        layer_range: [0, 32]
+      - model: Azazelle/Argetsu
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ./merge
+tokenizer_source: base
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+```